Combinatorial motif analysis and hypothesis generation on a genomic scale

@article{Hu2000CombinatorialMA,
  title={Combinatorial motif analysis and hypothesis generation on a genomic scale},
  author={Yuh-Jyh Hu and Suzanne B. Sandmeyer and Calvin McLaughlin and Dennis F. Kibler},
  journal={Bioinformatics},
  year={2000},
  volume={16 3},
  pages={222-32}
}
MOTIVATION Computer-assisted methods are essential for the analysis of biosequences. Gene activity is regulated in part by the binding of regulatory molecules (transcription factors) to combinations of short motifs. The goal of our analysis is the development of algorithms to identify regulatory motifs and to predict the activity of combinations of those motifs. APPROACH Our research begins with a new motif-finding method, using multiple objective functions and an improved stochastic… CONTINUE READING
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